Fourmile Calibrations

KGE for calibrations

Parameters

Scatter plots

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## chr (4): run, param, input_data, year_missing
## dbl (1): value
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Histograms

## `summarise()` has grouped output by 'param'. You can override using the
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## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Outlet results

Hydrograph

## Rows: 3561 Columns: 24
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (23): grid_2011, grid_2012, grid_2013, grid_2014, grid_2015, grid_2016,...
## date  (1): date
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Annual hydrographs

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KGE

Overall KGE

name	value
statn2015	0.66
grid2015	0.78
statn2013	0.78
statn2014	0.79
statn2011	0.80
statn2019	0.80
statn2012	0.81
statn2016	0.81
statn2018	0.81
statn2020	0.81
statn2017	0.82
statnall	0.83
grid2013	0.84
grid2016	0.84
grid2018	0.85
grid2014	0.86
grid2017	0.87
grid2011	0.88
grid2012	0.88
grid2019	0.88
grid2020	0.88
gridall	0.88

KGE by year

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid2011	0.43	-0.62	0.72	0.61	0.76	0.73	0.28	0.73	0.63	0.68
grid2012	0.81	-1.07	0.56	0.47	0.77	0.58	0.45	0.63	0.83	0.54
grid2013	0.76	-1.23	0.30	0.67	0.83	0.70	0.25	0.73	0.89	0.56
grid2014	0.74	-0.30	0.65	0.43	0.75	0.67	0.46	0.81	0.81	0.70
grid2015	0.63	0.26	0.75	0.48	0.56	0.68	0.68	0.71	0.88	0.84
grid2016	0.60	-1.20	0.65	0.56	0.65	0.62	0.39	0.78	0.82	0.48
grid2017	0.60	-0.91	0.60	0.59	0.79	0.81	0.40	0.65	0.88	0.78
grid2018	0.69	-1.56	0.65	0.59	0.65	0.70	0.31	0.57	0.90	0.73
grid2019	0.76	-0.40	0.62	0.54	0.74	0.78	0.39	0.64	0.89	0.75
grid2020	0.49	-0.73	0.72	0.66	0.74	0.72	0.15	0.79	0.75	0.72
gridall	0.50	-0.75	0.77	0.63	0.76	0.76	0.20	0.79	0.73	0.78
statn2011	-0.04	-1.49	0.86	0.50	0.78	0.76	0.60	0.53	0.46	0.65
statn2012	0.06	-2.23	0.91	0.49	0.82	0.83	0.60	0.59	0.58	0.72
statn2013	0.35	-0.59	0.03	0.68	0.90	0.82	0.68	0.82	0.77	0.68
statn2014	0.06	-1.12	0.93	0.40	0.77	0.73	0.65	0.61	0.44	0.60
statn2015	0.65	-1.60	0.80	0.30	0.44	0.76	0.65	0.76	0.56	0.61
statn2016	0.09	-1.71	0.76	0.48	0.75	0.77	0.72	0.75	0.59	0.65
statn2017	0.06	-0.98	0.88	0.62	0.82	0.80	0.41	0.70	0.48	0.75
statn2018	0.11	-1.69	0.78	0.52	0.74	0.80	0.67	0.46	0.49	0.70
statn2019	0.08	-1.46	0.85	0.49	0.78	0.81	0.67	0.73	0.47	0.67
statn2020	0.00	-1.56	0.91	0.47	0.79	0.77	0.66	0.59	0.51	0.70
statnall	0.08	-0.95	0.82	0.59	0.81	0.79	0.55	0.75	0.54	0.75

Annual KGE plots

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Ensembles

Hydrograph

Annual hydrographs

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KGE

KGE for ensembles (entire period)

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
0.88	0.84	0.87	0.88	0.83

Annual KGEs for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	0.69	-0.65	0.65	0.56	0.72	0.70	0.40	0.73	0.84	0.75
statn_ensemble	0.18	-1.35	0.85	0.50	0.77	0.82	0.68	0.73	0.62	0.71
all_ensemble	0.65	-0.91	0.79	0.53	0.76	0.79	0.56	0.79	0.82	0.77
grid_all	0.50	-0.75	0.77	0.63	0.76	0.76	0.20	0.79	0.73	0.78
statn_all	0.08	-0.95	0.82	0.59	0.81	0.79	0.55	0.75	0.54	0.75

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Monthly KGEs for ensembles

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
4	0.79	0.58	0.71	0.75	0.63
5	0.76	0.77	0.78	0.78	0.77
6	0.81	0.35	0.59	0.84	0.28
7	0.41	0.03	0.30	0.32	0.27
8	-0.56	-0.75	-0.54	-0.78	0.02
9	-0.04	0.29	0.19	0.48	0.61

RMSE

Ensemble RMSE for entire period

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
0.2657	0.3293	0.2689	0.2779	0.3526

Annual RMSE for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	0.1340	0.1919	0.4140	0.2734	0.4849	0.2067	0.3173	0.0855	0.0873	0.1404
statn_ensemble	0.3728	0.2533	0.2176	0.3231	0.6394	0.2628	0.3467	0.1526	0.2330	0.2024
all_ensemble	0.2258	0.2133	0.2687	0.2828	0.5305	0.2140	0.2978	0.1037	0.1456	0.1511
grid_all	0.1838	0.2031	0.3559	0.2783	0.4891	0.2021	0.4230	0.0714	0.1146	0.1220
statn_all	0.4080	0.2117	0.3177	0.2992	0.6811	0.2669	0.4156	0.1620	0.2423	0.1950

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Monthly RMSEs for ensembles

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
4	0.2369	0.2928	0.2436	0.2743	0.3176
5	0.4613	0.5960	0.4802	0.4931	0.6591
6	0.1764	0.3442	0.2437	0.1962	0.3430
7	0.1720	0.2378	0.1928	0.1888	0.2009
8	0.0720	0.0814	0.0725	0.0779	0.0557
9	0.2973	0.1413	0.1956	0.2498	0.2050

NSE

Ensemble NSE for entire period

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
0.8	0.7	0.8	0.79	0.66

Annual NSE for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	0.7390	-3.6990	0.7234	0.6803	0.8510	0.8284	0.6876	0.8587	0.8846	0.7792
statn_ensemble	-1.0203	-7.1883	0.9236	0.5534	0.7409	0.7226	0.6271	0.5503	0.1774	0.5406
all_ensemble	0.2591	-4.8040	0.8834	0.6579	0.8216	0.8160	0.7248	0.7923	0.6789	0.7441
grid_all	0.5090	-4.2639	0.7956	0.6686	0.8484	0.8360	0.4447	0.9016	0.8011	0.8331
statn_all	-1.4196	-4.7168	0.8371	0.6169	0.7061	0.7137	0.4641	0.4935	0.1102	0.5738

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Monthly NSE for ensembles

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
4	0.6319	0.4378	0.6108	0.5066	0.3388
5	0.7853	0.6417	0.7674	0.7547	0.5618
6	0.7549	0.0670	0.5323	0.6966	0.0734
7	-0.3295	-1.5403	-0.6707	-0.6008	-0.8134
8	-3.6472	-4.9355	-3.7112	-4.4360	-1.7858
9	0.6643	0.9241	0.8547	0.7629	0.8403

Percent bias

Positive values indicate model overestimation and negative values model underestimation.

Ensemble pbias for entire period

grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
-0.8	-2.2	-1.5	0	-3.1

Annual pbias for ensembles

model_run	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
grid_ensemble	-20.4	51.9	14.9	-29.2	-10.5	-19.0	55.0	25.2	-8.4	-2.8
statn_ensemble	28.6	40.0	11.9	-34.6	-11.5	-12.2	27.1	10.1	-4.3	-18.9
all_ensemble	3.0	45.4	13.1	-31.6	-10.8	-15.6	42.0	16.9	-6.8	-10.8
grid_all	-41.3	37.0	14.8	-25.4	-3.4	-16.1	70.4	18.5	-16.9	-6.2
statn_all	23.9	43.1	4.8	-31.1	-12.9	-15.6	32.7	0.2	-4.6	-14.5

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Monthly pbias for ensembles

month	grid_ensemble	statn_ensemble	all_ensemble	grid_all	statn_all
4	7.2	33.5	19.8	6.3	21.0
5	-8.9	3.2	-2.5	-9.0	10.2
6	-11.1	-51.0	-30.6	-3.7	-48.7
7	15.0	3.3	8.9	20.6	-8.2
8	70.3	27.5	47.5	68.9	-2.0
9	92.7	70.1	77.0	44.9	22.1

Cumulative Q

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Percentiles

## `summarise()` has grouped output by 'year', 'cal_run'. You can override using
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Catchment results

## New names:
## Rows: 3561 Columns: 45
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," dbl
## (44): precip, tmean, tmax, tmin, rhum, wind, rain, snow, solRad, netRad... date
## (1): time
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## New names:
## Rows: 3561 Columns: 45
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," dbl
## (44): precip, tmean, tmax, tmin, rhum, wind, rain, snow, solRad, netRad... date
## (1): time
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## • `actET` -> `actET...22`
## • `actET` -> `actET...39`

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## `summarise()` has grouped output by 'year'. You can override using the
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## `summarise()` has grouped output by 'year'. You can override using the
## `.groups` argument.

Niwot

SWE

-Look at SWE dataframe as a group

## Warning: package 'snotelr' was built under R version 4.2.2

## Downloading site: niwot , with id: 663

## Rows: 3561 Columns: 45
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (44): ID, precip_mm, tmean, rhum, wind, rain, snow, solRad, netRad, net...
## date  (1): date
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Rows: 3561 Columns: 45
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (44): ID, precip_mm, tmean, rhum, wind, rain, snow, solRad, netRad, net...
## date  (1): date
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

date	swe_mm_snotel	swe_mm_hrugrid	swe_mm_hrustatn	swe_mm_snotel2
2011-01-01	140	0.00000	2.11659	NA
2011-01-02	142	0.00000	2.11659	2
2011-01-03	145	0.00000	2.11659	3
2011-01-04	147	0.00000	2.11659	2
2011-01-05	147	0.00000	2.11659	0
2011-01-06	150	0.00000	2.11659	3
2011-01-07	150	0.00000	2.11659	0
2011-01-08	150	0.00000	2.11659	0
2011-01-09	152	0.00000	2.11659	2
2011-01-10	155	0.00000	2.11659	3
2011-01-11	155	0.00000	2.11659	0
2011-01-12	160	0.00000	2.11659	5
2011-01-13	163	0.00000	2.11659	3
2011-01-14	163	0.00000	2.11659	0
2011-01-15	163	0.00000	2.11659	0
2011-01-16	163	0.00000	2.11659	0
2011-01-17	168	14.13826	7.67181	5
2011-01-18	180	16.79079	10.19635	12
2011-01-19	183	23.28152	15.14347	3
2011-01-20	188	26.24668	17.82575	5
2011-01-21	190	31.35029	22.39399	2
2011-01-22	196	37.40448	25.70631	6
2011-01-23	201	37.40448	25.70631	5
2011-01-24	201	37.63590	25.94128	0
2011-01-25	203	37.63590	25.94128	2
2011-01-26	203	37.63590	25.94128	0
2011-01-27	203	37.63590	25.94128	0
2011-01-28	203	37.63590	25.94128	0
2011-01-29	203	37.63590	25.94128	0
2011-01-30	201	37.63590	25.94128	-2
2011-01-31	201	37.63590	25.94128	0
2011-02-01	201	37.63590	25.94128	0
2011-02-02	201	37.63590	25.94128	0
2011-02-03	201	37.63590	25.94128	0
2011-02-04	208	37.63590	25.94128	7
2011-02-05	211	42.37216	25.94128	3
2011-02-06	221	55.27455	26.88452	10
2011-02-07	236	72.75755	43.51489	15
2011-02-08	254	73.92515	43.84280	18
2011-02-09	254	76.06031	46.52800	0
2011-02-10	259	76.84661	47.40749	5
2011-02-11	262	77.21174	48.42401	3
2011-02-12	264	77.21174	48.42401	2
2011-02-13	264	77.21174	48.42401	0
2011-02-14	264	77.21174	48.42401	0
2011-02-15	264	77.21174	48.42401	0
2011-02-16	264	77.21174	48.42401	0
2011-02-17	264	77.21174	48.42401	0
2011-02-18	267	77.21174	48.42401	3
2011-02-19	267	77.21174	48.42401	0
2011-02-20	272	77.21174	48.42401	5
2011-02-21	272	77.21174	48.42401	0
2011-02-22	272	77.21174	48.42401	0
2011-02-23	272	77.21174	48.42401	0
2011-02-24	272	77.21174	48.42401	0
2011-02-25	274	80.55138	48.42401	2
2011-02-26	282	82.98980	48.42401	8
2011-02-27	284	84.49053	48.42401	2
2011-02-28	287	84.49053	48.42401	3
2011-03-01	287	84.49053	48.42401	0
2011-03-02	284	84.49053	48.42401	-3
2011-03-03	287	84.49053	48.42401	3
2011-03-04	287	84.49053	48.42401	0
2011-03-05	287	84.49053	48.42401	0
2011-03-06	287	86.33665	48.42401	0
2011-03-07	295	87.57309	48.42401	8
2011-03-08	297	87.57309	48.42401	2
2011-03-09	297	87.57309	48.42401	0
2011-03-10	300	87.57309	48.42401	3
2011-03-11	300	87.57309	48.42401	0
2011-03-12	300	87.57309	48.42401	0
2011-03-13	300	89.84843	48.42401	0
2011-03-14	307	89.84843	48.42401	7
2011-03-15	307	89.84843	42.21724	0
2011-03-16	307	89.84843	33.46279	0
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2014-11-19	33	13.32111	7.37089	0
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2014-11-25	41	31.13866	20.05431	3
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2014-11-27	61	38.38766	26.30091	5
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2014-11-30	61	0.00000	39.12018	0
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2014-12-24	89	18.78432	5.63119	3
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2014-12-27	99	30.53058	17.08898	0
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2014-12-30	107	38.47609	24.69786	0
2014-12-31	107	39.12594	24.92871	0
2015-01-01	112	40.02809	26.40349	5
2015-01-02	112	40.02809	26.40349	0
2015-01-03	114	40.02809	26.40349	2
2015-01-04	114	43.46877	29.51455	0
2015-01-05	119	43.85243	29.51455	5
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2015-01-10	124	43.85243	29.51455	0
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2015-01-20	132	43.85243	29.51455	0
2015-01-21	132	44.11835	29.51455	0
2015-01-22	140	44.11835	29.51455	8
2015-01-23	142	44.11835	29.51455	2
2015-01-24	145	45.38956	29.51455	3
2015-01-25	145	45.38956	29.51455	0
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2015-01-27	147	55.52063	48.34407	0
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2015-01-30	147	55.52063	48.34407	0
2015-01-31	150	55.52063	48.34407	3
2015-02-01	150	55.52063	48.34407	0
2015-02-02	150	55.52063	48.34407	0
2015-02-03	155	55.52063	48.34407	5
2015-02-04	155	67.19250	48.40878	0
2015-02-05	175	67.19250	48.43573	20
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2015-02-16	185	11.09503	62.44515	10
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2015-02-22	229	30.54463	84.53964	11
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2015-02-25	239	47.72709	104.97319	3
2015-02-26	259	50.39894	107.81797	20
2015-02-27	262	52.53205	110.53463	3
2015-02-28	264	55.27728	114.22277	2
2015-03-01	269	62.75374	120.37456	5
2015-03-02	274	69.26138	125.66619	5
2015-03-03	279	72.81444	128.16010	5
2015-03-04	282	73.21914	128.50118	3
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2015-03-13	284	75.33214	136.27331	0
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2015-03-15	287	75.33214	136.27331	0
2015-03-16	277	75.33214	136.27331	-10
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2015-03-18	277	47.04518	129.09806	0
2015-03-19	277	39.03184	129.09806	0
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2015-03-22	279	22.29833	108.55043	0
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2015-04-18	325	63.55954	50.54748	33
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2015-04-22	335	76.36146	53.69653	0
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2018-12-20	114	45.90525	35.32664	2
2018-12-21	117	45.90525	35.32664	3
2018-12-22	117	45.90525	35.32664	0
2018-12-23	117	45.90525	35.32664	0
2018-12-24	117	45.90525	35.32664	0
2018-12-25	119	45.90525	35.32664	2
2018-12-26	119	45.90525	35.32664	0
2018-12-27	119	45.90525	35.32664	0
2018-12-28	119	45.90525	35.32664	0
2018-12-29	119	45.90525	35.32664	0
2018-12-30	124	45.90525	35.32664	5
2018-12-31	124	45.90525	35.32664	0
2019-01-01	124	45.90525	35.32664	0
2019-01-02	124	45.90525	35.32664	0
2019-01-03	124	45.90525	35.32664	0
2019-01-04	127	45.90525	35.32664	3
2019-01-05	127	45.90525	35.32664	0
2019-01-06	127	45.90525	35.32664	0
2019-01-07	130	45.90525	35.32664	3
2019-01-08	132	45.90525	35.32664	2
2019-01-09	132	45.90525	35.32664	0
2019-01-10	135	45.90525	35.32664	3
2019-01-11	135	47.65059	35.32664	0
2019-01-12	152	47.65059	35.32664	17
2019-01-13	152	47.65059	35.32664	0
2019-01-14	152	47.65059	35.32664	0
2019-01-15	152	47.65059	35.32664	0
2019-01-16	155	48.50529	35.32664	3
2019-01-17	160	51.02239	35.32664	5
2019-01-18	163	52.94290	35.32664	3
2019-01-19	163	52.94290	35.32664	0
2019-01-20	163	52.94290	35.32664	0
2019-01-21	163	58.91889	38.26085	0
2019-01-22	170	60.46637	42.30592	7
2019-01-23	178	61.39606	43.02921	8
2019-01-24	180	71.53736	52.89048	2
2019-01-25	188	72.41851	53.07186	8
2019-01-26	190	73.49637	53.07186	2
2019-01-27	190	74.35727	53.07186	0
2019-01-28	193	75.82173	55.56830	3
2019-01-29	193	75.82173	55.56830	0
2019-01-30	193	75.82173	55.56830	0
2019-01-31	196	75.82173	55.56830	3
2019-02-01	196	75.82173	55.56830	0
2019-02-02	196	75.82173	55.56830	0
2019-02-03	196	75.82173	55.56830	0
2019-02-04	196	75.82173	55.56830	0
2019-02-05	198	75.82173	55.56830	2
2019-02-06	198	75.82173	55.56830	0
2019-02-07	198	75.82173	55.56830	0
2019-02-08	198	75.82173	55.56830	0
2019-02-09	201	75.82173	55.56830	3
2019-02-10	201	75.82173	55.56830	0
2019-02-11	201	75.82173	55.56830	0
2019-02-12	201	75.82173	55.56830	0
2019-02-13	201	75.82173	55.56830	0
2019-02-14	206	87.69199	58.63635	5
2019-02-15	216	92.52332	63.73334	10
2019-02-16	218	94.44219	65.47987	2
2019-02-17	218	94.44219	65.47987	0
2019-02-18	218	94.44219	65.47987	0
2019-02-19	218	94.44219	65.47987	0
2019-02-20	218	94.44219	65.47987	0
2019-02-21	221	94.44219	66.35066	3
2019-02-22	224	96.56421	69.16936	3
2019-02-23	226	96.56421	69.16936	2
2019-02-24	226	96.56421	69.16936	0
2019-02-25	226	96.56421	69.16936	0
2019-02-26	229	96.56421	69.16936	3
2019-02-27	229	96.56421	69.16936	0
2019-02-28	229	96.56421	69.16936	0
2019-03-01	229	100.01766	70.04223	0
2019-03-02	239	113.74855	85.19937	10
2019-03-03	251	127.07831	97.43355	12
2019-03-04	262	129.16465	100.05013	11
2019-03-05	264	129.16465	100.05013	2
2019-03-06	264	146.15353	115.21053	0
2019-03-07	279	152.35570	120.53338	15
2019-03-08	284	155.13547	123.32068	5
2019-03-09	287	155.13547	123.32068	3
2019-03-10	287	155.13547	123.32068	0
2019-03-11	287	156.90150	125.42469	0
2019-03-12	290	161.81497	129.92070	3
2019-03-13	292	192.02961	157.75413	2
2019-03-14	318	192.02961	157.79851	26
2019-03-15	318	192.02961	157.79851	0
2019-03-16	320	192.02961	157.79851	2
2019-03-17	320	192.02961	157.79851	0
2019-03-18	320	192.02961	157.79851	0
2019-03-19	320	192.02961	157.79851	0
2019-03-20	320	192.02961	157.79851	0
2019-03-21	320	192.02961	157.79851	0
2019-03-22	320	192.02961	157.79851	0
2019-03-23	320	192.02961	157.79851	0
2019-03-24	323	192.02961	157.79851	3
2019-03-25	323	192.02961	157.79851	0
2019-03-26	323	192.02961	162.71567	0
2019-03-27	323	192.02961	162.71567	0
2019-03-28	323	192.02961	162.71567	0
2019-03-29	318	192.02961	162.71567	-5
2019-03-30	320	192.02961	162.71567	2
2019-03-31	328	192.02961	162.71567	8
2019-04-01	328	192.02961	162.71567	0
2019-04-02	328	192.02961	162.71567	0
2019-04-03	330	192.02961	162.71567	2
2019-04-04	330	192.02961	162.71567	0
2019-04-05	330	192.02961	162.71567	0
2019-04-06	328	192.02961	162.71567	-2
2019-04-07	323	192.02961	162.71567	-5
2019-04-08	318	192.02961	162.71567	-5
2019-04-09	315	192.02961	162.71567	-3
2019-04-10	307	197.46517	162.71567	-8
2019-04-11	328	197.46517	162.71567	21
2019-04-12	333	197.46517	162.71567	5
2019-04-13	335	197.46517	162.71567	2
2019-04-14	340	197.46517	162.71567	5
2019-04-15	338	197.46517	178.59082	-2
2019-04-16	333	197.46517	178.59082	-5
2019-04-17	333	197.46517	178.59082	0
2019-04-18	330	197.46517	178.59082	-3
2019-04-19	330	197.46517	178.59082	0
2019-04-20	318	197.46517	178.59082	-12
2019-04-21	305	197.46517	178.59082	-13
2019-04-22	305	197.46517	178.59082	0
2019-04-23	307	197.46517	173.83783	2
2019-04-24	302	197.46517	165.95916	-5
2019-04-25	287	197.46517	158.68856	-15
2019-04-26	282	197.82515	150.39934	-5
2019-04-27	274	197.82515	142.82642	-8
2019-04-28	267	194.61328	140.68521	-7
2019-04-29	251	197.59558	140.68521	-16
2019-04-30	269	197.59558	137.01405	18
2019-05-01	274	197.59558	133.64675	5
2019-05-02	277	197.59558	127.79169	3
2019-05-03	272	197.59558	137.27851	-5
2019-05-04	264	191.97936	129.58505	-8
2019-05-05	251	180.87789	121.66328	-13
2019-05-06	239	167.86798	113.53859	-12
2019-05-07	224	153.14462	106.76332	-15
2019-05-08	221	164.00664	103.01664	-3
2019-05-09	246	164.00664	119.26413	25
2019-05-10	267	166.22187	121.48213	21
2019-05-11	269	166.22187	114.80515	2
2019-05-12	264	164.91516	49.37799	-5
2019-05-13	257	75.29969	40.79893	-7
2019-05-14	244	57.85337	32.07359	-13
2019-05-15	231	39.08381	23.37381	-13
2019-05-16	211	19.04928	14.75200	-20
2019-05-17	198	0.00000	7.39597	-13
2019-05-18	198	0.00000	0.96854	0
2019-05-19	183	0.00000	0.00000	-15
2019-05-20	193	0.00000	0.00000	10
2019-05-21	206	2.07540	0.00000	13
2019-05-22	211	9.59287	3.41941	5
2019-05-23	218	12.67153	2.62302	7
2019-05-24	226	12.67153	17.89179	8
2019-05-25	221	18.31668	10.23103	-5
2019-05-26	208	6.37256	8.78178	-13
2019-05-27	203	0.00000	0.00000	-5
2019-05-28	196	0.00000	0.00000	-7
2019-05-29	190	0.00000	0.00000	-6
2019-05-30	193	0.00000	0.00000	3
2019-05-31	193	0.00000	0.00000	0
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2019-06-02	147	0.00000	0.00000	-23
2019-06-03	130	0.00000	0.00000	-17
2019-06-04	104	0.00000	0.00000	-26
2019-06-05	74	0.00000	0.00000	-30
2019-06-06	48	0.00000	0.00000	-26
2019-06-07	18	0.00000	0.00000	-30
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2019-10-23	33	24.13903	15.11478	3
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2019-10-25	61	25.62984	17.51900	3
2019-10-26	61	25.62984	17.51900	0
2019-10-27	61	26.59050	17.67336	0
2019-10-28	66	28.75755	20.75452	5
2019-10-29	69	39.65583	32.05580	3
2019-10-30	81	44.48923	37.15833	12
2019-10-31	86	44.48923	37.15833	5
2019-11-01	86	44.48923	37.15833	0
2019-11-02	86	44.48923	37.15833	0
2019-11-03	86	44.48923	37.15833	0
2019-11-04	86	44.48923	37.15833	0
2019-11-05	84	44.48923	37.15833	-2
2019-11-06	84	44.48923	35.96708	0
2019-11-07	84	44.48923	29.21944	0
2019-11-08	84	44.48923	20.50938	0
2019-11-09	84	44.48923	11.18712	0
2019-11-10	84	34.59532	3.19096	0
2019-11-11	84	28.82471	3.19096	0
2019-11-12	84	28.82471	3.19096	0
2019-11-13	84	28.82471	0.00000	0
2019-11-14	84	28.82471	0.00000	0
2019-11-15	84	28.82471	0.00000	0
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2019-11-18	86	21.46990	0.00000	0
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2019-11-20	86	3.46264	0.00000	0
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2019-11-22	94	3.46264	0.00000	0
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2019-11-25	97	3.46264	0.00000	0
2019-11-26	107	8.99071	0.00000	10
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2019-11-28	122	10.40242	2.07176	3
2019-11-29	122	14.59773	4.64720	0
2019-11-30	130	19.46009	6.18184	8
2019-12-01	130	19.46009	6.18184	0
2019-12-02	130	19.46009	6.18184	0
2019-12-03	132	19.46009	6.18184	2
2019-12-04	132	19.46009	6.18184	0
2019-12-05	132	22.67367	7.08668	0
2019-12-06	137	22.67367	7.08668	5
2019-12-07	137	22.67367	3.64422	0
2019-12-08	142	27.30824	1.83808	5
2019-12-09	145	27.30824	1.83808	3
2019-12-10	145	27.47799	3.77324	0
2019-12-11	147	27.47799	3.77324	2
2019-12-12	147	32.11105	5.91055	0
2019-12-13	150	41.80166	16.24365	3
2019-12-14	157	56.05930	30.17065	7
2019-12-15	170	56.05930	30.17065	13
2019-12-16	170	56.05930	30.17065	0
2019-12-17	170	56.05930	30.17065	0
2019-12-18	170	56.05930	30.17065	0
2019-12-19	170	56.05930	30.17065	0
2019-12-20	170	56.05930	30.17065	0
2019-12-21	170	56.05930	27.81953	0
2019-12-22	170	56.05930	19.03695	0
2019-12-23	168	56.05930	10.17964	-2
2019-12-24	168	56.05930	2.81581	0
2019-12-25	168	56.05930	2.81581	0
2019-12-26	168	56.05930	2.81581	0
2019-12-27	168	56.05930	2.81581	0
2019-12-28	168	56.05930	2.81581	0
2019-12-29	175	56.05930	2.81581	7
2019-12-30	175	56.05930	2.81581	0
2019-12-31	175	56.05930	2.81581	0
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2020-01-03	183	56.05930	2.81581	0
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2020-01-06	185	56.05930	2.81581	0
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2020-01-09	190	56.05930	2.81581	0
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2020-01-16	196	56.05930	2.81581	0
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2020-01-18	203	56.44837	2.81581	5
2020-01-19	203	56.44837	2.81581	0
2020-01-20	203	56.44837	2.81581	0
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2020-02-29	318	134.43100	67.37657	0
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2020-03-12	330	135.05141	76.58146	0
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2020-03-19	338	154.09835	92.25687	0
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2020-03-27	391	162.17299	98.94532	0
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2020-04-09	386	167.44463	66.63707	-5
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2020-04-13	389	167.46176	51.30749	23
2020-04-14	401	173.46327	56.37761	12
2020-04-15	409	187.93416	70.23302	8
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2020-04-18	472	223.00315	132.65778	7
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2020-05-03	394	147.91529	36.95404	-5
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ET

## Rows: 8766 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (10): year, month, day, le, h, g, tair, rh, netrad, et
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Rows: 3561 Columns: 45
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (44): ID, precip_mm, tmean, rhum, wind, rain, snow, solRad, netRad, net...
## date  (1): date
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Rows: 3561 Columns: 45
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (44): ID, precip_mm, tmean, rhum, wind, rain, snow, solRad, netRad, net...
## date  (1): date
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

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